Triple

T5006214
Position Surface form Disambiguated ID Type / Status
Subject Jesus College Boat Club E112499 entity
Predicate participatesIn P149 FINISHED
Object May Bumps E321093 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: May Bumps | Statement: [Jesus College Boat Club, participatesIn, May Bumps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: May Bumps
Context triple: [Jesus College Boat Club, participatesIn, May Bumps]
  • A. May Bumps chosen
    May Bumps is an annual series of rowing races held on the River Cam in Cambridge, featuring college crews competing in a distinctive bumps race format.
  • B. Ba Bump
    "Ba Bump" is a song by the American hip hop group The Black Eyed Peas from their 2005 album "Monkey Business."
  • C. Bump, Bump, Bump
    "Bump, Bump, Bump" is an early-2000s R&B/hip-hop single by B2K featuring R. Kelly that became a commercial hit and club favorite.
  • D. Lent Bumps
    Lent Bumps is a traditional annual series of bumps rowing races held on the River Cam in Cambridge, primarily contested by the university’s college boat clubs.
  • E. M-Maybe
    M-Maybe is a famous 1965 pop art painting by Roy Lichtenstein that depicts a comic book-style blonde woman in a moment of suspense, exemplifying his signature use of Ben-Day dots and bold outlines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72e75db88190bccb30b93638a7a4 completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9261ef088190a012d55294b9e3c2 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.